mirror of
https://source.quilibrium.com/quilibrium/ceremonyclient.git
synced 2024-12-25 08:05:17 +00:00
414 lines
11 KiB
Go
414 lines
11 KiB
Go
package crypto
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import (
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"crypto/rand"
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"math/big"
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"filippo.io/edwards25519"
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)
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var lBE = []byte{16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20, 222, 249, 222, 162, 247, 156, 214, 88, 18, 99, 26, 92, 245, 211, 236}
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var lBigInt = big.NewInt(0).SetBytes(lBE)
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func genPolyFrags(secret *edwards25519.Scalar, total, threshold int) []*edwards25519.Scalar {
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coeffs := []*edwards25519.Scalar{}
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coeffs = append(coeffs, secret)
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for i := 1; i < threshold; i++ {
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coeffBI, _ := rand.Int(rand.Reader, lBigInt)
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coeff := BigIntToLEBytes(coeffBI)
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scalar, err := edwards25519.NewScalar().SetCanonicalBytes(coeff[:])
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if err != nil {
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panic(err)
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}
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coeffs = append(coeffs, scalar)
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}
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frags := []*edwards25519.Scalar{}
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for i := 1; i <= total; i++ {
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result, _ := edwards25519.NewScalar().SetCanonicalBytes(coeffs[0].Bytes())
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iBytes := BigIntToLEBytes(big.NewInt(int64(i)))
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x, err := edwards25519.NewScalar().SetCanonicalBytes(iBytes)
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if err != nil {
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panic(err)
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}
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for j := 1; j <= threshold-1; j++ {
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xi := edwards25519.NewScalar().Multiply(coeffs[j], x)
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result.Add(result, xi)
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xmul, _ := edwards25519.NewScalar().SetCanonicalBytes(iBytes)
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x.Multiply(x, xmul)
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}
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frags = append(frags, result)
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}
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return frags
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}
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func ShamirSplitMatrix(matrix [][]*edwards25519.Scalar, total, threshold int) [][][]*edwards25519.Scalar {
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shamirMatrix := make([][][]*edwards25519.Scalar, len(matrix))
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for x := 0; x < len(matrix); x++ {
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shamirMatrix[x] = make([][]*edwards25519.Scalar, len(matrix[0]))
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for y := 0; y < len(matrix[0]); y++ {
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shamirMatrix[x][y] = genPolyFrags(matrix[x][y], total, threshold)
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}
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}
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return shamirMatrix
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}
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func AddMatrices(matrices ...[][]*edwards25519.Scalar) [][]*edwards25519.Scalar {
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result := make([][]*edwards25519.Scalar, len(matrices[0]))
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for x := 0; x < len(matrices[0]); x++ {
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result[x] = make([]*edwards25519.Scalar, len(matrices[0][0]))
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for y := 0; y < len(matrices[0][0]); y++ {
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result[x][y] = edwards25519.NewScalar()
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for i := 0; i < len(matrices); i++ {
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result[x][y].Add(result[x][y], matrices[i][x][y])
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}
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}
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}
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return result
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}
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func GenerateRandomVectorShares(length, total, threshold int) [][]*edwards25519.Scalar {
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result := make([][]*edwards25519.Scalar, length)
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for i := 0; i < length; i++ {
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bi, _ := rand.Int(rand.Reader, lBigInt)
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biBytes := BigIntToLEBytes(bi)
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scalar, _ := edwards25519.NewScalar().SetCanonicalBytes(biBytes[:])
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result[i] = genPolyFrags(scalar, total, threshold)
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}
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return result
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}
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func InterpolatePolynomialShares(shares []*edwards25519.Scalar, ids []int) *edwards25519.Scalar {
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var reconstructedSum *edwards25519.Scalar
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for j := 0; j < len(ids); j++ {
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oneLENumBytes := BigIntToLEBytes(big.NewInt(1))
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coeffNum, _ := edwards25519.NewScalar().SetCanonicalBytes(oneLENumBytes)
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coeffDenom, _ := edwards25519.NewScalar().SetCanonicalBytes(oneLENumBytes)
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for k := 0; k < len(ids); k++ {
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if j != k {
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ikBytes := BigIntToLEBytes(big.NewInt(int64(ids[k])))
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ijBytes := BigIntToLEBytes(big.NewInt(int64(ids[j])))
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ikScalar, _ := edwards25519.NewScalar().SetCanonicalBytes(ikBytes)
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ijScalar, _ := edwards25519.NewScalar().SetCanonicalBytes(ijBytes)
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coeffNum.Multiply(coeffNum, ikScalar)
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ikScalar.Subtract(ikScalar, ijScalar)
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coeffDenom.Multiply(coeffDenom, ikScalar)
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}
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}
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coeffDenom.Invert(coeffDenom)
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coeffNum.Multiply(coeffNum, coeffDenom)
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reconstructedFrag := edwards25519.NewScalar().Multiply(coeffNum, shares[ids[j]-1])
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if reconstructedSum == nil {
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reconstructedSum = reconstructedFrag
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} else {
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reconstructedSum.Add(reconstructedSum, reconstructedFrag)
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}
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}
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return reconstructedSum
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}
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func LUDecompose(matrix [][]*edwards25519.Scalar) ([][]*edwards25519.Scalar, [][]*edwards25519.Scalar) {
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imax := 0
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maxA := edwards25519.NewScalar()
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N := len(matrix)
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p := make([]int, N)
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pm := make([][]*edwards25519.Scalar, N)
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newA := make([][]*edwards25519.Scalar, N)
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for i := 0; i < N; i++ {
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newA[i] = make([]*edwards25519.Scalar, N)
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pm[i] = make([]*edwards25519.Scalar, N)
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p[i] = i
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for j := 0; j < N; j++ {
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newA[i][j], _ = edwards25519.NewScalar().SetCanonicalBytes(matrix[i][j].Bytes())
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}
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}
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scalarOne, _ := edwards25519.NewScalar().SetCanonicalBytes(BigIntToLEBytes(big.NewInt(int64(1))))
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for i := 0; i < N; i++ {
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maxA = edwards25519.NewScalar()
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imax = i
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for k := i; k < N; k++ {
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if LEBytesToBigInt(newA[k][i].Bytes()).Cmp(LEBytesToBigInt(maxA.Bytes())) > 0 {
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maxA = newA[k][i]
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imax = k
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}
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}
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if imax != i {
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//pivoting P
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j := p[i]
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p[i] = p[imax]
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p[imax] = j
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//pivoting rows of A
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ptr := newA[i]
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newA[i] = newA[imax]
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newA[imax] = ptr
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}
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for j := i + 1; j < N; j++ {
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newA[j][i].Multiply(newA[j][i], edwards25519.NewScalar().Invert(newA[i][i]))
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for k := i + 1; k < N; k++ {
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newA[j][k].Subtract(newA[j][k], edwards25519.NewScalar().Multiply(newA[j][i], newA[i][k]))
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}
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}
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}
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for i := 0; i < N; i++ {
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for j := 0; j < N; j++ {
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if p[i] == j {
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pm[i][j] = scalarOne
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} else {
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pm[i][j] = edwards25519.NewScalar()
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}
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}
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}
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return newA, pm
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}
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func Invert(matrix [][]*edwards25519.Scalar) [][]*edwards25519.Scalar {
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a, p := LUDecompose(matrix)
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ia := make([][]*edwards25519.Scalar, len(matrix))
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for i := 0; i < len(matrix); i++ {
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ia[i] = make([]*edwards25519.Scalar, len(matrix))
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}
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for j := 0; j < len(matrix); j++ {
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for i := 0; i < len(matrix); i++ {
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ia[i][j] = edwards25519.NewScalar().Set(p[i][j])
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for k := 0; k < i; k++ {
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ia[i][j].Subtract(ia[i][j], edwards25519.NewScalar().Multiply(a[i][k], ia[k][j]))
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}
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}
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for i := len(matrix) - 1; i >= 0; i-- {
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for k := i + 1; k < len(matrix); k++ {
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ia[i][j].Subtract(ia[i][j], edwards25519.NewScalar().Multiply(a[i][k], ia[k][j]))
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}
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ia[i][j].Multiply(ia[i][j], edwards25519.NewScalar().Invert(a[i][i]))
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}
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}
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return ia
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}
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func InterpolateMatrixShares(matrixShares [][][]*edwards25519.Scalar, ids []int) [][]*edwards25519.Scalar {
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matrix := make([][]*edwards25519.Scalar, len(matrixShares))
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for x := 0; x < len(matrix); x++ {
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matrix[x] = make([]*edwards25519.Scalar, len(matrixShares[0]))
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for y := 0; y < len(matrix[0]); y++ {
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matrix[x][y] = InterpolatePolynomialShares(matrixShares[x][y], ids)
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}
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}
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return matrix
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}
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func ScalarMult(a int, b [][]*edwards25519.Scalar) [][]*edwards25519.Scalar {
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prod := make([][]*edwards25519.Scalar, len(b))
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for x := 0; x < len(b); x++ {
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prod[x] = make([]*edwards25519.Scalar, len(b[0]))
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for y := 0; y < len(b[0]); y++ {
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if a >= 0 {
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prod[x][y], _ = edwards25519.NewScalar().SetCanonicalBytes(BigIntToLEBytes(big.NewInt(int64(a))))
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} else {
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negA, _ := edwards25519.NewScalar().SetCanonicalBytes(BigIntToLEBytes(big.NewInt(int64(-a))))
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prod[x][y] = edwards25519.NewScalar().Subtract(edwards25519.NewScalar(), negA)
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}
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prod[x][y] = prod[x][y].Multiply(prod[x][y], b[x][y])
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}
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}
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return prod
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}
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func GenerateDotProduct(a, b [][]*edwards25519.Scalar) [][]*edwards25519.Scalar {
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if len(a[0]) != len(b) {
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panic("cannot generate dot product of a and b - mismatched length")
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}
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abMatrix := make([][]*edwards25519.Scalar, len(a))
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for x := 0; x < len(a); x++ {
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abMatrix[x] = make([]*edwards25519.Scalar, len(b[0]))
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for y := 0; y < len(b[0]); y++ {
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abMatrix[x][y] = edwards25519.NewScalar()
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for ay := 0; ay < len(a[0]); ay++ {
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abMatrix[x][y].MultiplyAdd(a[x][ay], b[ay][y], abMatrix[x][y])
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}
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}
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}
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return abMatrix
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}
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func GenerateRandomMatrixAndInverseShares(size, total, threshold int) [2][][][]*edwards25519.Scalar {
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output := make([][]*edwards25519.Scalar, size)
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for x := 0; x < size; x++ {
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output[x] = make([]*edwards25519.Scalar, size)
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for y := 0; y < size; y++ {
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i, _ := rand.Int(rand.Reader, lBigInt)
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iBytes := BigIntToLEBytes(i)
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iScalar, _ := edwards25519.NewScalar().SetCanonicalBytes(iBytes[:])
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output[x][y] = iScalar
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}
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}
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splitOutput := ShamirSplitMatrix(output, total, threshold)
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splitInverse := ShamirSplitMatrix(Invert(output), total, threshold)
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return [2][][][]*edwards25519.Scalar{splitOutput, splitInverse}
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}
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func GenerateRandomBeaverTripleMatrixShares(size, total, threshold int) [3][][][]*edwards25519.Scalar {
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uMatrix := make([][]*edwards25519.Scalar, size)
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vMatrix := make([][]*edwards25519.Scalar, size)
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for i := 0; i < size; i++ {
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uMatrix[i] = make([]*edwards25519.Scalar, size)
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vMatrix[i] = make([]*edwards25519.Scalar, size)
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for j := 0; j < size; j++ {
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uj, _ := rand.Int(rand.Reader, lBigInt)
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ujBytes := BigIntToLEBytes(uj)
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ujScalar, _ := edwards25519.NewScalar().SetCanonicalBytes(ujBytes[:])
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vj, _ := rand.Int(rand.Reader, lBigInt)
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vjBytes := BigIntToLEBytes(vj)
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vjScalar, _ := edwards25519.NewScalar().SetCanonicalBytes(vjBytes[:])
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uMatrix[i][j] = ujScalar
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vMatrix[i][j] = vjScalar
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}
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}
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uvMatrix := GenerateDotProduct(uMatrix, vMatrix)
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uMatrixShares := ShamirSplitMatrix(uMatrix, total, threshold)
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vMatrixShares := ShamirSplitMatrix(vMatrix, total, threshold)
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uvMatrixShares := ShamirSplitMatrix(uvMatrix, total, threshold)
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return [3][][][]*edwards25519.Scalar{uMatrixShares, vMatrixShares, uvMatrixShares}
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}
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func GeneratePermutationMatrix(size int) [][]*edwards25519.Scalar {
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matrix := [][]*edwards25519.Scalar{}
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elements := []int{}
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for i := 0; i < size; i++ {
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elements = append(elements, i)
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}
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for i := 0; i < size; i++ {
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pos, _ := rand.Int(rand.Reader, big.NewInt(int64(len(elements))))
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var vecPos int
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elements, vecPos = remove(elements, int(pos.Int64()))
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scalarOne, err := edwards25519.NewScalar().SetCanonicalBytes(
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BigIntToLEBytes(big.NewInt(1)),
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)
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if err != nil {
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panic(err)
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}
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vector := []*edwards25519.Scalar{}
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for j := 0; j < vecPos; j++ {
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scalarZero, err := edwards25519.NewScalar().SetCanonicalBytes(
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BigIntToLEBytes(big.NewInt(0)),
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)
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if err != nil {
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panic(err)
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}
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vector = append(vector, scalarZero)
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}
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vector = append(vector, scalarOne)
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for j := vecPos + 1; j < size; j++ {
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scalarZero, err := edwards25519.NewScalar().SetCanonicalBytes(
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BigIntToLEBytes(big.NewInt(0)),
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)
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if err != nil {
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panic(err)
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}
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vector = append(vector, scalarZero)
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}
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matrix = append(matrix, vector)
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}
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return matrix
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}
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func BigIntToLEBytes(bi *big.Int) []byte {
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b := bi.Bytes()
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last := len(b) - 1
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for i := 0; i < len(b)/2; i++ {
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b[i], b[last-i] = b[last-i], b[i]
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}
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for i := len(b); i < 32; i++ {
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b = append(b, 0x00)
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}
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return b
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}
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func LEBytesToBigInt(bytes []byte) *big.Int {
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b := make([]byte, len(bytes))
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last := len(b) - 1
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for i := 0; i < len(b)/2; i++ {
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b[i], b[last-i] = b[last-i], b[i]
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}
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res := big.NewInt(0)
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return res.SetBytes(b)
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}
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func remove(elements []int, i int) ([]int, int) {
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ret := elements[i]
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elements[i] = elements[len(elements)-1]
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newElements := []int{}
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newElements = append(newElements, elements[:len(elements)-1]...)
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return newElements, ret
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}
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